50 computational-physics-superconductor Postdoctoral positions at Technical University of Denmark
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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, which includes mathematics, computer science, physics, chemistry and biology, provides the foundation for new and innovative technology for the future. Technology for people DTU develops technology for
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index and broad transparency region. You will be supervised by Associate Prof. Andrea Crovetto, and will work closely with LightTrap colleagues at DTU Compute and DTU Physics. It is very important that
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computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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forefront of fiber and quantum photonics. At DTU Electro, you will take a central role in the experimental demonstration of third-order spontaneous parametric down-conversion (TOSPDC), a process capable of
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will cover several of the items: Pioneer research in modelling and control within PtX and storage applications Analysis and modelling based on data-driven, physical and hybrid approaches Drive and
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competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all